Computationally reconstructing the evolution of cancer progression risk
Kefan Cao, Russell S. Schwartz
This study develops a computational method to infer cancer progression risk by analyzing tumor phylogenetics and mutation data from TCGA cohorts, revealing general mechanisms and cohort-specific variability.
Lecture notes in computer science · Oct 31, 2025Peer-reviewedBioinformatics